Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning - Forschungsportal der Justus-Liebig-Universität Gießen:

Konferenzpaper

Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning

Autorenliste: Lutz, Bernhard; Pröllochs, Nicolas; Neumann, Dirk

Erschienen in: Proceedings of the 52th Annual Hawaii International Conference on System Sciences

Herausgeberliste: Bui, Tung X.

Jahr der Veröffentlichung: 2019

Seiten: 1116-1125

eISBN: 978-0-9981331-2-6

Open Access Status: Gold

DOI Link: https://doi.org/10.24251/HICSS.2019.137

Konferenz: 52nd Annual Hawaii International Conference on System Sciences

Autoren/Herausgeber

- Prof. Dr. Nicolas Pröllochs

Zitierstile

Harvard-Zitierstil: Lutz, B., Pröllochs, N. and Neumann, D. (2019) Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning, in Bui, T. (ed.) Proceedings of the 52th Annual Hawaii International Conference on System Sciences. Honolulu, HI: University of Hawaii at Manoa, Hamilton Library, ScholarSpace. pp. 1116-1125. https://doi.org/10.24251/HICSS.2019.137

APA-Zitierstil: Lutz, B., Pröllochs, N., & Neumann, D. (2019). Sentence-Level Sentiment Analysis of Financial News Using Distributed Text Representations and Multi-Instance Learning. In Bui, T. (Ed.), Proceedings of the 52th Annual Hawaii International Conference on System Sciences. (pp. 1116-1125). University of Hawaii at Manoa, Hamilton Library, ScholarSpace. https://doi.org/10.24251/HICSS.2019.137